National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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Syllabus

Course Details

Subject {L-T-P / C} : BM6131 : Analytical Techniques in Bioengineering { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Kunal Pal

Syllabus

Module 1 :

Module 1: Fundamentals of Analytical Techniques (6 Hours)
Introduction to Analytical Techniques: Importance and applications in bioengineering, Types of biological samples and their preparation
Measurement Principles: Sensitivity, specificity, accuracy, precision, calibration, standardization, and error analysis

Module 2: Spectroscopic Techniques (8 Hours)
UV-Vis Spectroscopy, Fluorescence Spectroscopy, Fluorescence resonance energy transfer (FRET), Infrared (IR) Spectroscopy, Raman Spectroscopy, Nuclear Magnetic Resonance (NMR) Spectroscopy

Module 3: Chromatographic and Electrophoresis Techniques (8 Hours)
Chromatographic Techniques: Thin-Layer Chromatography (TLC), Gas Chromatography (GC), High-Performance Liquid Chromatography (HPLC)
Electrophoresis Techniques: Native PAGE, SDS-PAGE, Capillary Electrophoresis

Module 4: Microscopy Techniques (8 Hours)
Optical Microscopy: Bright-field, phase-contrast, and fluorescence microscopy
Advanced Microscopy: Confocal microscopy for cellular imaging, Atomic Force Microscopy (AFM)
Electron Microscopy: Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM)

Module 5: Data Analysis (6 Hours)
Introduction to Statistical Analysis
Descriptive statistics: Mean, median, mode, variance, standard deviation
Inferential Statistics: Hypothesis testing- Null and alternative hypotheses, p-values, confidence intervals, and significance testing, Parametric tests- t-test, ANOVA (one-way and two-way)
Non-Parametric Statistics: Chi-square test, Mann-Whitney U test and Kruskal-Wallis test
Correlation and Regression Analysis: Pearson correlation, Spearman correlation, Linear regression

Course Objective

1 .

To provide foundational knowledge of analytical techniques

2 .

To develop proficiency in spectroscopic, chromatographic, and electrophoretic methods

3 .

To introduce advanced microscopy techniques for biological imaging

4 .

To apply statistical tools for data analysis and interpretation

Course Outcome

1 .

By the end of the course, students will be able to:
1. Understand the principles and applications of key analytical techniques.
2. Apply the analytical techniques for biological sample analysis.
3. Design and perform experiments using modern analytical tools.
4. Evaluate the role of analytical methods in solving bioengineering challenges.

Essential Reading

1 .

J.Cazes, Analytical Instrumentation Handbook, Third Edition, CRC Press , 2004

2 .

R. Shobhaand M. Banani, Essentials of Analytical Chemistry, Pearson Education , 2017

Supplementary Reading

1 .

Stanley Crouch, Douglas Skoog, Principles of Instrumental Analysis, David Harris , 2017

2 .

R. S.Khandpur, Handbook of Analytical Instruments, McGraw-Hill Handbooks